A study on DPL model of heat transfer in bi-layer tissues during MFH treatment

Abstract In this paper, dual-phase-lag bioheat transfer model subjected to Fourier and non-Fourier boundary conditions for bi-layer tissues has been solved using finite element Legendre wavelet Galerkin method (FELWGM) during magnetic fluid hyperthermia. FELWGM localizes small scales variation of so...

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Bibliographic Details
Published in:Computers in biology and medicine 2016-08, Vol.75, p.160-172
Main Authors: Kumar, Dinesh, Kumar, P, Rai, K.N
Format: Article
Language:English
Subjects:
Bi-layer tissues
Cancer
Dual-phase-lag
Fever
Finite element Legendre wavelet Galerkin method
Heat transfer
Hot Temperature
Hyperthermia, Induced
Internal Medicine
Lipid Bilayers - chemistry
Magnetic Fields
Magnetic fluid hyperthermia
Magnetic nano-particles
Magnetite Nanoparticles - chemistry
Mathematical models
Metabolism
Models, Chemical
Mutation
Other
Physiology
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Summary:Abstract In this paper, dual-phase-lag bioheat transfer model subjected to Fourier and non-Fourier boundary conditions for bi-layer tissues has been solved using finite element Legendre wavelet Galerkin method (FELWGM) during magnetic fluid hyperthermia. FELWGM localizes small scales variation of solution and fast switching of functional bases. It has been observed that moderate hyperthermia temperature range (41–46 °C) can be better achieved in spherical symmetric coordinate system and treatment method will be independent of the Fourier and non-Fourier boundary conditions used. The effect of phase-lag times has been observed only in tumor region. FCC FePt magnetic nano-particle produces more effective treatment with respect to other magnetic nano-particles. The effect of variability of magnetic heat source parameters (magnetic induction, frequency, diameter of magnetic nano-particles, volume fractional of magnetic nano-particles and ligand layer thickness) have been investigated. The physical property of these parameters has been described in detail during magnetic fluid hyperthermia (MFH) treatment and also discussed the clinical application of MFH in Oncology.
ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2016.06.002